Marvin Klingner | DeepAI

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∙ 03/03/2023

X^3KD: Knowledge Distillation Across Modalities, Tasks and Stages for Multi-Camera 3D Object Detection

Recent advances in 3D object detection (3DOD) have obtained remarkably s...

0 Marvin Klingner, et al. ∙

∙ 10/13/2022

X-Align: Cross-Modal Cross-View Alignment for Bird's-Eye-View Segmentation

Bird's-eye-view (BEV) grid is a common representation for the perception...

0 Shubhankar Borse, et al. ∙

∙ 06/01/2022

On the Choice of Data for Efficient Training and Validation of End-to-End Driving Models

The emergence of data-driven machine learning (ML) has facilitated signi...

0 Marvin Klingner, et al. ∙

∙ 03/02/2022

Detecting Adversarial Perturbations in Multi-Task Perception

While deep neural networks (DNNs) achieve impressive performance on envi...

0 Marvin Klingner, et al. ∙

∙ 03/02/2022

Continual BatchNorm Adaptation (CBNA) for Semantic Segmentation

Environment perception in autonomous driving vehicles often heavily reli...

0 Marvin Klingner, et al. ∙

∙ 04/12/2021

Improving Online Performance Prediction for Semantic Segmentation

In this work we address the task of observing the performance of a seman...

0 Marvin Klingner, et al. ∙

∙ 04/09/2021

SVDistNet: Self-Supervised Near-Field Distance Estimation on Surround View Fisheye Cameras

A 360 perception of scene geometry is essential for automated driving, n...

16 Varun Ravi Kumar, et al. ∙

∙ 11/17/2020

Unsupervised BatchNorm Adaptation (UBNA): A Domain Adaptation Method for Semantic Segmentation Without Using Source Domain Representations

In this paper we present a solution to the task of "unsupervised domain ...

0 Marvin Klingner, et al. ∙

∙ 08/10/2020

SynDistNet: Self-Supervised Monocular Fisheye Camera Distance Estimation Synergized with Semantic Segmentation for Autonomous Driving

State-of-the-art self-supervised learning approaches for monocular depth...

15 Varun Ravi Kumar, et al. ∙

∙ 07/14/2020

Self-Supervised Monocular Depth Estimation: Solving the Dynamic Object Problem by Semantic Guidance

Self-supervised monocular depth estimation presents a powerful method to...

0 Marvin Klingner, et al. ∙

∙ 06/15/2020

Self-Supervised Domain Mismatch Estimation for Autonomous Perception

Autonomous driving requires self awareness of its perception functions. ...

0 Jonas Löhdefink, et al. ∙

∙ 05/12/2020

Class-Incremental Learning for Semantic Segmentation Re-Using Neither Old Data Nor Old Labels

While neural networks trained for semantic segmentation are essential fo...

10 Marvin Klingner, et al. ∙

∙ 04/23/2020

Improved Noise and Attack Robustness for Semantic Segmentation by Using Multi-Task Training with Self-Supervised Depth Estimation

While current approaches for neural network training often aim at improv...

0 Marvin Klingner, et al. ∙

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